[et_pb_section fb_built=”1″ _builder_version=”3.29.3″ fb_built=”1″ _i=”0″ _address=”0″][et_pb_row _builder_version=”3.29.3″ _i=”0″ _address=”0.0″][et_pb_column type=”4_4″ _builder_version=”3.29.3″ _i=”0″ _address=”0.0.0″][et_pb_text _builder_version=”3.29.3″ _i=”0″ _address=”0.0.0.0″]<\/p>\n
[\/et_pb_text][et_pb_divider color=”#e09900″ _builder_version=”3.29.3″ _i=”1″ _address=”0.0.0.1″][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.29.3″ custom_padding=”5px|||||” _i=”1″ _address=”0.1″][et_pb_column type=”4_4″ _builder_version=”3.29.3″ _i=”0″ _address=”0.1.0″][et_pb_text _builder_version=”3.29.3″ background_color=”#e0d2b5″ width=”100%” custom_padding=”4px|||7px||” _i=”0″ _address=”0.1.0.0″]<\/p>\n
Guess The Age: Age Estimation From Facial Images with Deep Convolutional Neural Networks<\/strong><\/p>\n The Guess The Age (GTA) contest is a competition among methods based on modern Deep Convolutional Neural Networks (DCNNs) for age estimation from facial images. In order to allow the participants to train effective models, we provide a dataset, the Mivia Age Dataset, including 575.073 images annotated with age labels; it is among the biggest publicly available datasets of faces in the world with age annotations. The performance of the proposed methods will be evaluated in terms of accuracy and regularity on a test set of more than 150.000 images, different from the ones available in the training set.\u00a0<\/p>\n